• Journal of KIISE
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• v.43 no.2
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• pp.256-268
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• 2016

Modern networks consisting of various heterogeneous equipment are often installed in a distributed manner. Thus the NETCONF standard was established to manage networks centrally and efficiently. In this paper, we present a method that integrates each NETCONF layer into a single system based on the results of previous studies. In the RPC Layer, an asynchronous communication channel and parallel processes are possible using multi-threading. In the Operation Layer, operational efficiency is increased by using a data group with dependencies between the equipment configuration data and by improving the data structure, enabling efficiently processing of XML queries even with multiple managers. The data modeling techniques and grouping methods in the Content Layer are presented in detail for interoperability between the Operation Layer and the Content Layer. Finally, the GUI program was implemented and its implementation is reported. We performed an experiment comparing the improved NETCONF with the standard NETCONF to measure factors, such as query processing ratio, query processing speed, and CPU utilization. The improved NETCONF demonstrated excellent query processing ratio and query processing speed, whereas the standard NETCONF had excellent CPU utilization.

• Journal of Internet Computing and Services
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• v.7 no.1
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• pp.75-89
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• 2006

This paper is concerned with analysing the bankruptcy prediction power of three models: Multivariate Discriminant Analysis(MDA), Logit Analysis, Neural Network. The research targeted the bankrupted companies after the foreign exchange crisis in 1997 to differentiate from previous research efforts, and all participating companies were randomly selected from the KSE listed companies belonging to manufacturing industry to improve prediction accuracy and validity of the model. In order to assure meaningful bankruptcy prediction, training data and testing data were not extracted within the corresponding period. The result is that prediction accuracy of neural networks is more excellent than that of logit analysis and MDA model when considering that execution of testing data was followed by execution of training data.

• Genomics & Informatics
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• v.7 no.2
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• pp.122-130
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• 2009

A systems biology approach for the identification of perturbed molecular functions is required to understand the complex progressive disease such as breast cancer. In this study, we analyze the microarray data with Gene Ontology terms of molecular functions to select perturbed molecular functional modules in breast cancer tissues based on the definition of Gene ontology Functional Code. The Gene Ontology is three structured vocabularies describing genes and its products in terms of their associated biological processes, cellular components and molecular functions. The Gene Ontology is hierarchically classified as a directed acyclic graph. However, it is difficult to visualize Gene Ontology as a directed tree since a Gene Ontology term may have more than one parent by providing multiple paths from the root. Therefore, we applied the definition of Gene Ontology codes by defining one or more GO code(s) to each GO term to visualize the hierarchical classification of GO terms as a network. The selected molecular functions could be considered as perturbed molecular functional modules that putatively contributes to the progression of disease. We evaluated the method by analyzing microarray dataset of breast cancer tissues; i.e., normal and invasive breast cancer tissues. Based on the integration approach, we selected several interesting perturbed molecular functions that are implicated in the progression of breast cancers. Moreover, these selected molecular functions include several known breast cancer-related genes. It is concluded from this study that the present strategy is capable of selecting perturbed molecular functions that putatively play roles in the progression of diseases and provides an improved interpretability of GO terms based on the definition of Gene Ontology codes.

• The Journal of the Korean dental association
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• v.43 no.1 s.428
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• pp.41-52
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• 2005

Information Technology has extended its scope to the medical field as well as dental field. Like medical field, network ststem for dental field requires acquisition, storage, and display of images. However, unlike the medical field, the system to integrate several information including medical images has not been developed according to industrial standard for management of digital image for medical use, so called DICOM conformance. which makes the digital environment in dental field more and more difficult and expensive for this standardization and comfortable communication in LAN and WAN. To solve this problem, the DICOM encoder and server has to be developed because the DICOM file can be easily retrieved with patient's information from the DICOM server in the system as DICOM file has the standard specification to integrate the patient's information. The information including image and other discrete data can be easily integrated in DICOM file and can be used without any difficulty for precise diagnosis and for contribution to the decision making for each treatment protocol. Therefore, the system composed of DICOM encoder and server in dental practive for DICOM file must be developed with prudent consideration of the several strategic factors: I) Enhanced diagnostic capability through the integrated information of image and clinical data. ii) Clinician-friendly interface to simulate the systemic treatment procedure in clinical practice iii) Implementation of multidisciplinary treatment protocol The development of DICOM encoder and server based on these strategic considerations will provide paperless and filmless hospital environments by the seamless integration and management of patient's history, several clinical data and clinical images through image processing for quantitative analysis. The system also allows clinicians to provide more predictable dental care for the patients.

• Journal of Digital Convergence
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• v.9 no.6
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• pp.355-368
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• 2011

For an effective warfare under the condition of NCW, the sharing of data between systems must be essential. Thus, the standardization and the integration of data which is considered as the MND-EA improvement and the Megacenter is important. The purpose of this research is to investigate the factors that affected the BI(Behavioral Intention to USE) by using the TAM(Technology Acceptance Model), That is to introduce the MDM into the national defense field which is an issue in every agency sector for data sharing. Also, based on the implementation architecture of Gartner which applies depending on the business enterprise type, the preferred architecture should be selected considering the national defense environment and the characteristics, and suggest an effective MND-MDM plan by analysing the effects on the BI. The survey was done through 19th September till the 7th of October 2011, by investigating the people in charge of the development and maintenance of the national defense information systems and the SI company's national defense team people who have experienced the development of the national defense information systems.

• Journal of the Korea Society for Simulation
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• v.20 no.1
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• pp.1-8
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• 2011

Cloud computing emerges as a new paradigm for deploying, managing and offering IT resources as a service anytime, anywhere on any devices. Cloud computing data center stores many IT resources through resource integration. So cloud computing system has to be designed by technology and policy to make effective use of IT resources. In other words, cloud vendor has to provide high quality services to all user and mitigate the dissipation of IT resources. However, vendors need to predict the performance of cloud services and the use of IT resources before releasing cloud service. For solving the problem, this research presents cloud service modeling on network environment and evaluation index for availability optimization of cloud service. We also study how to optimize an amount of requested cloud service and performance of datacenter using CloudSim toolkit.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.1
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• pp.73-97
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• 2018

The study is to make a development initiative for humanities and social assets one-stop portal services intended for researchers, thereby establishing long-term road map for Korean Research Memory(KRM) in National Research Foundation of Korea(NRF). The empirical studies conducted for this purpose are as follows: SWOT analysis of KRM's internal and external environment; Usability test for 90 graduate students; Focus group interview for 8 experts. The results of the studies are as follows. First, KRM needs to focus on the sustainability of information provision as well as the integration of research provision. Second, KRM needs to establish the strategy of acquisition for R&D products in quality. Third, KRM needs to be the hub of humanities and social assets and social network platform for researchers. Forth, KRM needs to develop education service for lay users as well as research services for professional researchers.

• Research in Community and Public Health Nursing
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• v.15 no.4
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• pp.539-550
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• 2004

Purpose: The purpose of this study was to evaluate the achievements of the project, and also to find out its strengths and weaknesses. Method: This evaluative study employed system theory and analytic techniques by using criteria which were relevance, appropriateness, adequacy, progress, effectiveness and satisfaction for input, process, output, and outcome of program. Study subjects were participants in the home health care program implemented in G public health center in Inchon metropolitan city in 2003. Results: Input factors including recruitment personnel, and support organization development were not adequately met for the program. However. the goal and objectives of the project were really appropriate for the community needs as well as government's policy. For the Process evaluation, home health care record form and computer data base had not progressed as scheduled, but overall program activities were finished on time. However, cooperation between organizations in the health center during service activity were not supportive. Managerial ability of program charged personnel about coordination and integration of team members was not affirmative. Output and outcome evaluation showed that people improved self care ability were 221 (17.5%). and 71 (5.62%) of subjects were moved into category of possible self-care. Client's satisfaction for this project showed a high degree. Conclusions: Based on the above results support organization and staff personnel for this program should be developed. Also, a community network of resources should be established and case management services should be focused continuously in community based home health care.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.149-152
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• 2017

Big data analysis is an effective analysis techniques of unstructured data such as internet, social network services, web documents generated in mobile environment, e-mail, and social data, as well as formal data well organized in the database. Thus, meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. Today, regardless of gender and age is increasing interest in whether you can lead a younger and healthier life. With this change of life which has been developed with a variety of functional health food. Aronia melanocarpa called black chokeberry is a fruit of berry plants belonging to the Rosaceae originally growing in the North America region. In the studies for factors related to quality characteristics and antioxidant activities as the extracts of Aronia in this study, which it is only targeted factors as total sugar, acidity, polyphenol, anthocyanin, antioxidant. Thus, we present the theoretical and practical implications of these results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.364-366
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• 2017

Unlike general ships, offshore plants require high reliability due to their long operating time at fixed positions when they are operated. Sensor-based status information is required for user and maintenance worker to ensure safety. In this paper, we propose a monitoring system for safety diagnosis and inspection of cargo lift for offshore plant. It consists of a sensor unit mounted on the cargo Lift, an embedded system measurement unit, and a monitoring unit for real-time data verification. It is based on the ship standard network IEC 61162-450 for the exchange of operating information and sensor measurement information in accordance with the upgrading and integration of equipment in maritime.